对基于视频的监控系统进行的地理危险预警系统的审查
Haoran Dong1, Shuzhong Sheng1, Chong Xu1,2,3
1School of Geophysics and Space Exploration, East China University of Technology, Nanchang 330013, China.
Sensors (Basel, Switzerland)
|December 11, 2025
概括
基于视频的监控系统增强了地理危险的检测和预警. 整合机器学习和数据融合可以提高地质危险评估的监测效率和准确性.
科学领域:
- 地质科学 地质科学
- 工程 工程师 工程师 工程师
- 计算机科学 计算机科学
背景情况:
- 基于视频的监控系统对于地理危险监测和预警越来越重要.
- 它们提供实时,无接触的视觉观察,克服了传统方法的局限性.
研究的目的:
- 综合审查基于视频的监控技术,图像处理中的机器学习和地理危险的数据融合.
- 分析该领域的技术原则,应用,优势和未来趋势.
主要方法:
- 审查基于视频监控的国内和国际研究.
- 分析用于视频图像处理的机器学习算法.
- 对地缘危险应用的多源数据融合技术的检查.
主要成果:
- 与人工智能集成的视频系统能够快速检测和及时预警地缘危险.
- 这些系统显著提高了地理危险监测工作的效率和准确性.
结论:
- 通过机器学习和数据融合增强的基于视频的监控,代表了地缘危险监测和早期预警的重大进步.
- 本综述为未来的地理危险管理研究和创新提供了宝贵的参考.
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